Yujun Shi

4.0k total citations
145 papers, 2.9k citations indexed

About

Yujun Shi is a scholar working on Molecular Biology, Surgery and Hepatology. According to data from OpenAlex, Yujun Shi has authored 145 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 48 papers in Surgery and 37 papers in Hepatology. Recurrent topics in Yujun Shi's work include Liver physiology and pathology (16 papers), Hepatocellular Carcinoma Treatment and Prognosis (15 papers) and Liver Disease Diagnosis and Treatment (14 papers). Yujun Shi is often cited by papers focused on Liver physiology and pathology (16 papers), Hepatocellular Carcinoma Treatment and Prognosis (15 papers) and Liver Disease Diagnosis and Treatment (14 papers). Yujun Shi collaborates with scholars based in China, United States and France. Yujun Shi's co-authors include Hong Bu, Zhenru Wu, Yongjie Zhou, Ji Bao, Tao Lv, Xiaoyue Cao, Mingyang Shao, Qing Xu, Yi Li and Ruina Yang and has published in prestigious journals such as Journal of Clinical Oncology, Hepatology and Cancer Research.

In The Last Decade

Yujun Shi

141 papers receiving 2.8k citations

Peers

Yujun Shi
Comparison fields: 5 of 138
  • Molecular Biology 1.1k
  • Surgery 840
  • Cancer Research 550
  • Hepatology 518
  • Biomedical Engineering 408
Replace Yue Wang with:
Yue Wang China
Xinwei Han China
Guihua Chen China
Hongji Zhang United States
Lu Cao China
Jeffrey C. Horowitz United States
Christoph Kaun Austria
Darren H. Freed Canada
Hirohiko Ise Japan
Ming‐Shyen Yen Taiwan
Yue Wang China View profile →
Citations per field, relative to Yujun Shi
Yujun Shi · 1×
Citations per year, relative to Yujun Shi
Yujun Shi · 1×

Countries citing papers authored by Yujun Shi

Since Specialization
Citations

This map shows the geographic impact of Yujun Shi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yujun Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yujun Shi more than expected).

Fields of papers citing papers by Yujun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yujun Shi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yujun Shi. The network helps show where Yujun Shi may publish in the future.

Co-authorship network of co-authors of Yujun Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yujun Shi. A scholar is included among the top collaborators of Yujun Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yujun Shi. Yujun Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 2
4 4
5 27
6 0
7 2
8 4
9 3
10 1
11 5
12 19
13 69
14 6
15 25
16 6
17
Brahma compensates the role of brahma-related gene 1 in liver regeneration of albumin-Cre; brahma-related gene 1loxP/loxP mice.
1
18 21
19 118
20
Effect of fault structure on generation of Cenozoic igneous rock in Nanpu sag
0

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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